Channel Modeling of Single Wire Earth Return Networks for Narrowband Power Line Communication and Sensing: A Field-Validated High-Frequency Digital Twin
Wania Anoosh, Cagil Ozansoy, Douglas Gomes, Mike Faulkner, Kristi Beqirllari
Abstract
Upgrading Single-Wire Earth Return (SWER) networks for smart grid capabilities requires a reliable communications technology. Narrowband Power Line Communication (NB-PLC) is a potential low cost solution. Real-world deployment is challenging due to the severe, frequency-dependent attenuation caused by complex earth-return paths and heterogeneous network infrastructure. To accurately characterize the communication channel, this paper develops a high-frequency (up to 300 kHz) digital twin of an operational SWER network. The digital twin integrates a segment-by-segment transmission line model with Vector Network Analyzer (VNA) measurements of physical grid hardware, replacing standard uniform assumptions with empirical component responses. Parametric sensitivity analysis demonstrates that distributed environmental factors, such as soil moisture and line sag, act as uniform magnitude offsets. Conversely, the conductor's magnetic permeability and local injection-transformer impedances dictate the channel's resonant spectral shape. Furthermore, cross-brand analysis proves that utilizing generic transformer models introduces significant prediction errors, confirming that accurate simulation requires manufacturer- and tap-specific data. Validated against in-situ field measurements from three transmitters, this digital twin replicates the path loss and dominant frequency-selective fading of the physical grid. Yielding a Root Mean Square Error (RMSE) between 4.65 dB and 9.73 dB across the three transmit paths, the model provides a practically reliable framework for deploying NB-PLC across rural SWER infrastructure.
Create a lesson
Related papers
From Multimode Near-Field Coupling to Friis
Mats Gustafsson
Distributed Sensing on a 110-kV Overhead-Line Maintenance Operation on an Operational Optical Ground Wire
Konstantinos Alexoudis, Torm Järvelill, Hendrik Johann Kerm et al.
Stable Filters for Generative Modeling of Graph Signals
Martin Schmidt, Gonzalo Mateos
Learning Array Signal Topologies as Conditional Neural Manifolds
Julian P. Merkofer, Vincent van de Schaft, Ruud J. G. van Sloun
QUBO Formulations of the Downlink MIMO Scheduling Problem in 5G Base Stations
Olli Apilo, Jorma Kilpi
Massive MIMO ISAC Under Target-Angle Uncertainty: CRLB Outage Analysis and Robust Resource Allocation
Smriti Uniyal, Tianyu Fang, Van-Dinh Nguyen et al.